Xinglin Hu

738 total citations · 1 hit paper
21 papers, 536 citations indexed

About

Xinglin Hu is a scholar working on Molecular Biology, Cell Biology and Dermatology. According to data from OpenAlex, Xinglin Hu has authored 21 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Dermatology. Recurrent topics in Xinglin Hu's work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers) and melanin and skin pigmentation (3 papers). Xinglin Hu is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers) and melanin and skin pigmentation (3 papers). Xinglin Hu collaborates with scholars based in China, United States and Canada. Xinglin Hu's co-authors include Yanshuang Wu, Lei Lei, Ji Li, Hua Tang, Mingliang Chen, Hongfu Xie, Hongfu Xie, Lei Lei, Dan Jian and Yuchen Sun and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Frontiers in Immunology.

In The Last Decade

Xinglin Hu

20 papers receiving 529 citations

Hit Papers

Dux activates metabolism-lactylation-MET network during e... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xinglin Hu China 11 260 116 110 81 73 21 536
David Piwnica France 12 190 0.7× 185 1.6× 83 0.8× 31 0.4× 188 2.6× 15 594
Sabrina Leverrier France 16 451 1.7× 66 0.6× 201 1.8× 77 1.0× 13 0.2× 20 711
Frederic Bone United States 9 248 1.0× 94 0.8× 57 0.5× 54 0.7× 74 1.0× 11 472
Minchan Gil South Korea 18 370 1.4× 30 0.3× 162 1.5× 93 1.1× 11 0.2× 50 730
Yap Ching Chew United States 17 580 2.2× 232 2.0× 46 0.4× 64 0.8× 43 0.6× 34 856
Mahmut Mijit United States 8 330 1.3× 32 0.3× 63 0.6× 74 0.9× 16 0.2× 10 676
Gyuyoup Kim United States 11 639 2.5× 177 1.5× 85 0.8× 73 0.9× 8 0.1× 16 899
Aleksandr Piskunov France 7 421 1.6× 47 0.4× 70 0.6× 42 0.5× 11 0.2× 17 523
Fei Hou China 15 285 1.1× 91 0.8× 92 0.8× 68 0.8× 10 0.1× 43 678
Ana Gómez-Larrauri Spain 13 514 2.0× 101 0.9× 79 0.7× 50 0.6× 8 0.1× 17 692

Countries citing papers authored by Xinglin Hu

Since Specialization
Citations

This map shows the geographic impact of Xinglin Hu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xinglin Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinglin Hu more than expected).

Fields of papers citing papers by Xinglin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinglin Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xinglin Hu. The network helps show where Xinglin Hu may publish in the future.

Co-authorship network of co-authors of Xinglin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinglin Hu. A scholar is included among the top collaborators of Xinglin Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinglin Hu. Xinglin Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Siyu, et al.. (2024). Roles of blood metabolites in mediating the relationship between vitiligo and autoimmune diseases: Evidence from a Mendelian randomization study. International Immunopharmacology. 133. 112132–112132. 5 indexed citations
2.
Zhang, Meiting, et al.. (2024). Nr5a2 ensures inner cell mass formation in mouse blastocyst. Cell Reports. 43(3). 113840–113840. 4 indexed citations
3.
Zhang, Zhijing, Xinglin Hu, Yuchen Sun, Lei Lei, & Zhonghua Liu. (2024). Early inhibition of BRD4 facilitates iPSC reprogramming via accelerating rDNA dynamic expression. BMC Biology. 22(1). 195–195.
4.
Hu, Xinglin, Yue Yang, Yuchen Sun, et al.. (2024). Dux activates metabolism-lactylation-MET network during early iPSC reprogramming with Brg1 as the histone lactylation reader. Nucleic Acids Research. 52(10). 5529–5548. 61 indexed citations breakdown →
5.
Sun, Yuchen, Xinglin Hu, Dan Qiu, Zhijing Zhang, & Lei Lei. (2023). rDNA Transcription in Developmental Diseases and Stem Cells. Stem Cell Reviews and Reports. 19(4). 839–852. 5 indexed citations
6.
Hu, Xinglin, et al.. (2022). Development and Validation of a Necroptosis-Related Prognostic Model in Head and Neck Squamous Cell Carcinoma. Journal of Oncology. 2022. 1–15. 9 indexed citations
7.
Chen, Jiao, Ying Lu, Xiaojun Wu, et al.. (2021). Two-field non-mydriatic fundus photography for diabetic retinopathy screening: a protocol for a systematic review and meta-analysis. BMJ Open. 11(10). e051761–e051761. 3 indexed citations
8.
Hu, Xinglin, et al.. (2021). Brain organoid: a 3D technology for investigating cellular composition and interactions in human neurological development and disease models in vitro. Stem Cell Research & Therapy. 12(1). 430–430. 32 indexed citations
9.
Chen, Pengfei, Liying Zhou, Jiying Chen, et al.. (2021). The Immune Atlas of Human Deciduas With Unexplained Recurrent Pregnancy Loss. Frontiers in Immunology. 12. 689019–689019. 93 indexed citations
10.
He, Rongzhang, Jing Jiang, Xinglin Hu, et al.. (2021). Stabilization of UCA1 by N6-methyladenosine RNA methylation modification promotes colorectal cancer progression. Cancer Cell International. 21(1). 616–616. 13 indexed citations
11.
Hu, Xinglin, et al.. (2021). Functional study of distinct domains of Dux in improving mouse SCNT embryonic development†. Biology of Reproduction. 105(5). 1089–1103. 8 indexed citations
12.
Gao, Meng, Xinglin Hu, Xing‐Hui Shen, et al.. (2020). The Effects of Daxx Knockout on Pluripotency and Differentiation of Mouse Induced Pluripotent Stem Cells. Cellular Reprogramming. 22(2). 90–98. 3 indexed citations
13.
Qiao, Yu, et al.. (2020). Tumorigenic and Immunogenic Properties of Induced Pluripotent Stem Cells: a Promising Cancer Vaccine. Stem Cell Reviews and Reports. 16(6). 1049–1061. 33 indexed citations
14.
15.
Li, Jia, Lili Duan, Xinglin Hu, et al.. (2017). AKR1B10 promotes breast cancer cell migration and invasion via activation of ERK signaling. Oncotarget. 8(20). 33694–33703. 76 indexed citations
16.
Sun, Min, Hongfu Xie, Yan Tang, et al.. (2016). G protein-coupled estrogen receptor enhances melanogenesis via cAMP-protein kinase (PKA) by upregulating microphthalmia-related transcription factor-tyrosinase in melanoma. The Journal of Steroid Biochemistry and Molecular Biology. 165(Pt B). 236–246. 42 indexed citations
17.
Zhang, Xun, et al.. (2014). Study on Application of T‐S Fuzzy Observer in Speed Switching Control of AUVs Driven by States. Mathematical Problems in Engineering. 2014(1). 2 indexed citations
18.
Jian, Dan, Juan Su, Wei Chen, et al.. (2011). Diethylstilbestrol enhances melanogenesis via cAMP-PKA-mediating up-regulation of tyrosinase and MITF in mouse B16 melanoma cells. Steroids. 76(12). 1297–1304. 58 indexed citations
19.
Li, Ji, Hua Tang, Xinglin Hu, Mingliang Chen, & Hongfu Xie. (2010). Aquaporin‐3 gene and protein expression in sun‐protected human skin decreases with skin ageing. Australasian Journal of Dermatology. 51(2). 106–112. 58 indexed citations
20.
Li, Ji, Lisha Wu, Yehong Kuang, et al.. (2010). Depletion of CD147 sensitizes human malignant melanoma cells to hydrogen peroxide-induced oxidative stress. Journal of Dermatological Science. 58(3). 204–210. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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